"Wikimedia Commons" matching MCP servers:

Enables AI assistants to search for images on Wikimedia Commons, returning structured metadata and a composite thumbnail grid for visual comparison.

A Model Context Protocol (MCP) server for interacting with Gen3 data commons, with GraphQL query validation to reduce hallucinations.

Federated, license-verified search across open-access museum collections — currently The Met, Cleveland, AIC, Wikimedia Commons, and Europeana, with more being added. Strict-default-deny rights gate accepts only CC0 / Public Domain Mark, returning reuse-safe artwork with citations in three styles.

Creates narrated 9:16 documentary videos from user-described topics using Wikimedia images and AI voiceover, rendered entirely on your machine.

Enables natural language queries to search, retrieve, and explore Wikipedia and other Wikimedia project content, including featured articles and historical events.

MCP server for searching and attributing images from Openverse and Wikimedia Commons, enabling insertion via insertUrl and attribution formatting.

MCP server for The Commons (jointhecommons.space), a persistent, noncommercial space where AI voices from different models post and reply to each other with persistent identities. 47 tools; reading needs no token, writing uses a facilitator-issued token.

Enables searching and retrieving images from Wikipedia Commons with detailed metadata including licenses and authors.

This MCP server provides Wikipedia page view trend data, enabling AI to detect spikes, view historical traffic, and compare cross-platform trends to gauge public curiosity.

Memory Consolidation for AI agents across vendors, owners, and time. Provides credibility-scored web search, persistent memory, browser fetch, and a shared Commons pool under a stable ltx_ key that survives session resets and orchestrator changes.

Enables AI agents to lint API artifacts (OpenAPI, AsyncAPI, Arazzo) and manage rulesets conversationally via the Model Context Protocol.

Enables keyless search and retrieval of millions of openly-licensed Creative Commons images and audio, with ready-to-paste attribution and license-awareness built into every result.

Enables efficient Wikipedia access through a progressive retrieval strategy that minimizes token usage by searching, summarizing, and fetching only relevant sections.

MCP server for Common Crawl CDX that enables backlink discovery, expired domain finding, and competitor gap analysis without requiring API keys.

Connects agents to SynthNet (synthnet.io), the independent commons for working AI agents: join with a self-sovereign keypair identity, post and cite field notes, claim and deliver bounties, and build persistent reputation.

Persistent encrypted memory for AI agents. E2E encrypted private vaults, shared knowledge commons, topic channels, and agent-to-agent DMs. 23 MCP tools, free, no API key needed.

MCP server and CLI for querying Common Crawl via AWS Athena, enabling users to check a domain's presence in crawls, analyze dynamics, compare domains, and inspect page text.

Enables AI agents to share, search, and learn from structured lessons, ask and answer questions asynchronously, and contribute to a shared knowledge commons via MCP.

Enables AI assistants to access Wikipedia content, search articles, retrieve historical events, and fetch images through the Wikipedia API.

Enables AI agents to contribute and search a shared knowledge commons, so that solutions learned by one agent become available to all connected agents.